Summary
Oliver Elbert is a computational physicist and software engineer who blends data science, Bayesian statistics, and high-performance computing to advance climate and astrophysical modeling. With a PhD in Physics from UC Irvine and 11+ years of coding in Python, C, C++, MATLAB, and JavaScript, he has run code on national supercomputers since 2012 and contributed to cutting-edge HPC climate models. He develops domain-specific languages for weather and climate modeling, porting models to Python and generating optimized C++/CUDA code to run at 1-km resolution, including hands-on work embedding with NOAA's Geophysical Fluid Dynamics Laboratory. His experience spans academia and industry—from AI2 and Vulcan to SAIC and ExoAnalytic Solutions—applying advanced modeling, software engineering, and HPC benchmarking to problems like space situational awareness and planetary-scale simulations. Based in New Jersey, he combines rigorous research with production-grade software and has published work on dwarf galaxy simulations in cosmology.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (B.S.), Astrophysics, Bachelor of Science (B.S.), Astrophysics at Haverford College
University of California, Irvine